dion-hagan_mcp-server-spinnaker
This project implements a Model Context Protocol server for Spinnaker, facilitating AI integration with software deployment processes. It enhances CI/CD by empowering AI models to make decisions, detect issues, and optimize processes autonomously, acting as a virtual assistant in the DevOps pipeline.
MCP Server for Spinnaker
This project provides a Model Context Protocol (MCP) server implementation for integrating AI models with Spinnaker deployments, pipelines, and applications. It enables AI models like Anthropic's Claude to leverage the MCP interface for interacting with Spinnaker. Key features include intelligent deployment decisions, proactive issue detection, continuous process optimization, and automated root cause analysis. The server automatically maintains context for Spinnaker deployments and can be configured with environment variables for customization.
Features
- Intelligent deployment decisions based on contextual information
- Proactive issue detection and remediation
- Continuous process optimization
- Automated root cause analysis and recovery
Usage
The server can be initialized and started using a JavaScript/TypeScript API, allowing configuration of applications and environments to monitor.